slip.5

1.
<!DOCTYPE html>
<html lang="en"> 
<head> 
<title>Bootstrap Example</title> 
<meta charset="utf-8"> 
<meta name="viewport" content="width=device-width, initial-scale=1"> 
<link rel="stylesheet" 
href="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/css/bootstrap.min.c 
ss"> 
<script 
src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></scrip 
t> 
<script 
src="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/js/bootstrap.min.js"> 
</script> 
</head> 
<body> 
<div class="jumbotron text-center"> 
<h1>My First Bootstrap Page</h1> 
<p>Resize this responsive page to see the effect!</p> 
</div> 
<div class="container"> 
<div class="row">
<div class="col-sm-4"> 
<h3>Personal Information</h3>

<p>Add your personal information..</p>

<p>...</p>

</div>

<div class="col-sm-4">

<h3>Educational Information</h3>

<p>Add your educational information....</p>

<p>...</p>

</div>

<div class="col-sm-4">

<h3>Job Profile</h3>

<p>Add your job profile information.....</p>

<p>...</p>

</div>

</div>

</div>

</body>

</html>




2



import pandas as pd
import matplotlib.pyplot as plt
import numpy as np


import numpy as np
import matplotlib.pyplot as plt

rand_arr = np.random.randint(0, 100, 50)
print("\n*** ____Random numbers ____***\n\n", rand_arr)

x = rand_arr
y = x * 0.5

print("\n\nLine Chart….\n\n")
plt.plot(x, '-', color='tomato', linewidth=3)
plt.xlabel("X - Axis")
plt.ylabel("Y - Axis")
plt.title("Line Chart")
plt.minorticks_on()
plt.grid(visible=True, color='silver', which='minor', alpha=0.8, ls='-', lw=1)
plt.show()

print("\n\nScatter Plot….\n\n")
plt.scatter(x, y, marker='d', c='gold', linewidth=2)
plt.xlabel("X - Axis")
plt.ylabel("Y - Axis")
plt.title("Scatter Plot")
plt.grid(visible=True, color='silver', which='major', alpha=0.8, ls='-', lw=1)
plt.show()

print("\n\nHistogram….\n\n")
plt.hist(x, color='teal')
plt.xlabel("X - Axis")
plt.ylabel("Y - Axis")
plt.title("Histogram")
plt.grid(visible=True, color='silver', which='major', alpha=0.8, ls='-', lw=1)
plt.show()

print("\nBoxPlot….\n\n")
plt.boxplot(x)
plt.xlabel("X - Axis")
plt.ylabel("Y - Axis")
plt.title("Box Plot")
plt.minorticks_on()
plt.grid(visible=True, color='silver', which='minor', alpha=0.8, ls='-', lw=1)
plt.show()



df = pd.read_csv('data.csv')
print("Shape of DataFrame is : ", df.shape)
print("\n Number of rows & Columns : ", df.size)
print("\n\n Data types for DataFrame is : \n\n", df.dtypes)
print("\n\n Feature Names in DataFrame : \n\n", df.columns)
print("\n\n Description of a Data : \n\n", df.describe())
df







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